Technical Papers
Jun 26, 2024

Optimization Design and Parameter Modeling for an Elliptic Shock Wave

Publication: Journal of Aerospace Engineering
Volume 37, Issue 5

Abstract

The elliptic shock wave has potential applications in the design of hypersonic inlets and waveriders. In this study, an optimization design process and a mathematical model for an elliptic shock wave are proposed. An elliptic cone flow field is employed to generate an elliptic shock wave whose shape is predetermined using the value of aspect ratio. The design of the shock wave is transformed into an optimization problem, and an optimization design process with the gas viscosity considered is developed. The elliptic cone is parameterized, and the parameters are adjusted by an optimization algorithm to meet the requirements. The results show that the optimization process can realize the accurate design of an elliptic shock wave. Based on the analysis of the elliptic cone flow field, the shock wave can be well approximated as an elliptic cone, and the aspect ratio of the shock wave is positively correlated with three factors: the aspect ratio and slenderness ratio of the elliptic cone and the incoming Mach number. The relationship between the aspect ratio of the shock wave and these three factors is modeled by a feed-forward neural network with accuracy verified, which is beneficial for the rapid design of elliptic shock waves.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The authors express their thanks for the support from Tao Tang. This work is supported by the Postgraduate Scientific Research Innovation Project of Hunan Province (Grant Number: CX20200084).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 37Issue 5September 2024

History

Received: Jun 22, 2022
Accepted: Mar 29, 2024
Published online: Jun 26, 2024
Published in print: Sep 1, 2024
Discussion open until: Nov 26, 2024

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Doctoral Student, College of Aerospace Science and Engineering, National Univ. of Defense Technology, Changsha 410073, People’s Republic of China. Email: [email protected]
Professor, College of Aerospace Science and Engineering, National Univ. of Defense Technology, Changsha 410073, People’s Republic of China (corresponding author). ORCID: https://orcid.org/0000-0001-6058-2020. Email: [email protected]
Shangcheng Xu [email protected]
Lecturer, College of Aerospace Science and Engineering, National Univ. of Defense Technology, Changsha 410073, People’s Republic of China. Email: [email protected]
Hongbo Zhang [email protected]
Professor, College of Aerospace Science and Engineering, National Univ. of Defense Technology, Changsha 410073, People’s Republic of China. Email: [email protected]

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